The DOI matches its Crossref record; 223 of the 223 references it cites were found in a registry or an index.
What Has Natural Variation Taught Us about Plant Development, Physiology, and Adaptation?
Open accessAbstract
Nearly 100 genes and functional polymorphisms underlying natural variation in plant development and physiology have been identified. In crop plants, these include genes involved in domestication traits, such as those related to plant architecture, fruit and seed structure and morphology, as well as yield and quality traits improved by subsequent crop breeding. In wild plants, comparable traits have been dissected mainly in Arabidopsis thaliana. In this review, we discuss the major contributions of the analysis of natural variation to our understanding of plant development and physiology, focusing in particular on the timing of germination and flowering, plant growth and morphology, primary metabolism, and mineral accumulation. Overall, functional polymorphisms appear in all types of genes and gene regions, and they may have multiple mutational causes. However, understanding this diversity in relation to adaptation and environmental variation is a challenge for which tools are now available.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Genome of Black Cottonwood, Populus trichocarpa (Torr. & Gray)
Tuskan, G. A., DiFazio, S., Jansson, S., Bohlmann, J., Grigoriev, I., Hellsten, U., Putnam, N., Ralph, S., Rombauts, S., Salamov, A., et al. (2006) · Science · doi:10.1126/science.1128691 · Cited by 4,326
The grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla
The French–Italian Public Consortium for Grapevine Genome Characterization (2007) · Nature · doi:10.1038/nature06148 · Cited by 3,767
Kitano, H. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1471 · Cited by 2,278
‘Green revolution’ genes encode mutant gibberellin response modulators
Peng, J., Richards, D. E., Hartley, N. M., Murphy, G. P., Devos, K. M., Flintham, J. E., Beales, J., Fish, L. J., Worland, A. J., Pelica, F., et al. (1999) · Nature · doi:10.1038/22307 · Cited by 2,252
FLOWERING LOCUS C Encodes a Novel MADS Domain Protein That Acts as a Repressor of Flowering
Michaels, S. D., & Amasino, R. M. (1999) · The Plant Cell · doi:10.1105/tpc.11.5.949 · Cited by 1,992
The Molecular Genetics of Crop Domestication
Doebley, J. F., Gaut, B. S., & Smith, B. D. (2006) · Cell · doi:10.1016/j.cell.2006.12.006 · Cited by 1,979
Cytokinin Oxidase Regulates Rice Grain Production
Ashikari, M., Sakakibara, H., Lin, S., Yamamoto, T., Takashi, T., Nishimura, A., Angeles, E. R., Qian, Q., Kitano, H., & Matsuoka, M. (2005) · Science · doi:10.1126/science.1113373 · Cited by 1,905
Genome-wide High-Resolution Mapping and Functional Analysis of DNA Methylation in Arabidopsis
Zhang, X., Yazaki, J., Sundaresan, A., Cokus, S., Chan, S. W.-L., Chen, H., Henderson, I. R., Shinn, P., Pellegrini, M., Jacobsen, S. E., et al. (2006) · Cell · doi:10.1016/j.cell.2006.08.003 · Cited by 1,815
A QTL for rice grain width and weight encodes a previously unknown RING-type E3 ubiquitin ligase
Song, X.-J., Huang, W., Shi, M., Zhu, M.-Z., & Lin, H.-X. (2007) · Nature Genetics · doi:10.1038/ng2014 · Cited by 1,655
Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice
Xue, W., Xing, Y., Weng, X., Zhao, Y., Tang, W., Wang, L., Zhou, H., Yu, S., Xu, C., Li, X., et al. (2008) · Nature Genetics · doi:10.1038/ng.143 · Cited by 1,627
Cited by
The genetic basis of flowering responses to seasonal cues
Andrés, F., & Coupland, G. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3291 · Cited by 1,538
Genetic architecture of plant stress resistance: Multi-trait genome-wide association mapping
Thoen, M. P. M., Davila Olivas, N. H., Kloth, K. J., Coolen, S., Huang, P., Aarts, M. G. M., Bac‐Molenaar, J. A., Bakker, J., Bouwmeester, H. J., Broekgaarden, C., et al. (2017) · New Phytologist · doi:10.1111/nph.14220 · Cited by 188
“To gain an insight into the adaptation of plants to the wide variety of stress-inducing conditions they face, genetic variation and mechanisms underlying stress resistance should be studied (Alonso-Blanco et al. , 2009; Brachi et al. , 2015; Kerwin et al. , 2015).”
Self-citationEvolution of the metal hyperaccumulation and hypertolerance traits
Manara, A., Fasani, E., Furini, A., & DalCorso, G. (2020) · Plant, Cell & Environment · doi:10.1111/pce.13821 · Cited by 124
Enhancing C3 photosynthesis: an outlook on feasible interventions for crop improvement.
Singh, J., Pandey, P., James, D., Chandrasekhar, K., Achary, V. M. M., Kaul, T., Tripathy, B. C., & Reddy, M. K. (2014) · Plant Biotechnology Journal · doi:10.1111/pbi.12246 · Cited by 100
Co-expression networks: graph properties and topological comparisons
Xulvi-Brunet, R., & Li, H. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp632 · Cited by 77
Metadata
- Authors
- Alonso-Blanco, C., Aarts, M. G. M., Bentsink, L., Keurentjes, J. J. B., Reymond, M., Vreugdenhil, D., & Koornneef, M.
- Venue
- The Plant Cell
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-07
- Volume
- 21
- Issue
- 7
- Pages
- 1877-1896
- ISSN
- 1040-4651 (ISSN-L)
- 1532-298X
- OpenAlex
- W2150168968
- Cited by
- 478
- References
- 223
- FWCI
- 26.55
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: What Has Natural Variation Taught Us about Plant Development, Physiology, and Adaptation? https://app.cochat.ai/papers/10.1105/tpc.109.068114
- The paper
- Alonso-Blanco, C., Aarts, M. G. M., Bentsink, L., Keurentjes, J. J. B., Reymond, M., Vreugdenhil, D., & Koornneef, M. (2009). What Has Natural Variation Taught Us about Plant Development, Physiology, and Adaptation? The Plant Cell. https://doi.org/10.1105/tpc.109.068114
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
